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关于 AI 基础设施、MLOps、模型以及上线生产的实操指南。
DSX, the CUDA Wheel, and Europe's AI Stack at GTC Berlin
Huang's factory half: DSX from a digital twin, Vera Rubin pods, and a slide that stacks applications, models, factories, NVIDIA compute and energy.
Balinder Walia阅读 NVIDIA Minerva for AI Factories: Turning Alert Storms into Recovered GPU Hours
One degrading optic can raise thousands of alerts and stall a thousand GPUs. What NVIDIA Minerva does, what it is worth in GPU hours, goodput, MTBI, MTTR and tokens, which of its three consumption models fits, worked examples for a Vera Rubin NVL72 neocloud, a university Blackwell cluster and an enterprise with Grafana and ServiceNow, and how it relates to UFM.
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NVIDIA UFM for AI Clusters: Why InfiniBand Fabric Visibility Decides What Your GPUs Are Worth
One flapping InfiniBand link can stall a 256-GPU job. What NVIDIA Unified Fabric Manager does, when UFM Telemetry, Enterprise or Cyber-AI fits, worked examples for a 4-node DGX B300 cluster, a 32-node SuperPOD-style cluster and a university Slurm service, and what fabric visibility is worth in GPU hours.
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Build AI Agents with NebulaDB: Semantic Search, RAG and a Visa AI Agent
How we built semantic search, RAG and a Thai Visa AI Agent on NebulaDB, with real queries, query plans and retrieval scores measured on our 8.3M-document production server, and the guards that keep private data and invented numbers out of the answers.
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NVIDIA Blackwell Ultra B300 Has Landed in the UK: Configure Yours Today
NVIDIA Blackwell Ultra B300 systems have arrived with our UK distribution partners. Configure and price your eight-GPU B300 build in minutes with our AI Sales Engineer, save with Workstation Trade, and order today to be first in line as UK supply arrives.
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Private AI for Law Firms: Choosing an Offline-First Workstation Your Clients Can Trust
How a law firm chooses a private-AI workstation that runs with no internet connection: who uses it, which model, how much GPU memory, how isolated it must be and who sets it up. With real prices from a real quote, where it was over-specified, and the Starter, Workforce and Enterprise builds we would actually ship.
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Gateway API Replaces Ingress: A Step-by-Step Migration Playbook
Ingress NGINX is retired and Ingress is frozen. This playbook maps Ingress fields and annotations to Gateway and HTTPRoute, flags the ingress-nginx behaviours that break, and walks through conversion, side-by-side testing, weighted cutover and rollback.
TuneBench: How Well Can AI Agents Calibrate Power System Models?
TuneBench tests LLM agents on calibrating generator and battery models within 15 simulations. Only Opus 5.5 and GPT-6 hit median R² above 0.995 in every test. What that figure means, its limits, and how to build the same kind of benchmark.
Agentic AI in banking: efficiency you can defend to a risk committee
Banking AI agents rarely fail on one bad reply; they fail across a session. How to scope tools, test whole conversations against mock systems and measure reliability with pass^k, so the time saved survives audit and production.
Wikipedia banned AI-written articles: what teams that reuse it should change
English Wikipedia now prohibits LLM-written article text, yet volunteers still flag a steady share of new drafts as AI-generated. If your search, chatbot or knowledge base reuses Wikipedia, here is how to pin revisions, watch edits, review changes and attribute correctly.